-
Notifications
You must be signed in to change notification settings - Fork 1
/
api_tests.py
216 lines (186 loc) · 6.29 KB
/
api_tests.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
import requests
import os
def photoDNA_report():
url = "https://api.microsoftmoderator.com/photodna/v1.0/Report"
headers = {
"Content-Type": "application/json; charset=utf-8",
"Ocp-Apim-Subscription-Key": os.environ["PHOTODNA_KEY"],
"x-user": os.environ["x-user"],
"x-pwd": os.environ["x-pwd"]
}
data = {
"OrgName":"TestOrg",
"ReporterName":"Reporter1",
"ReporterEmail":"test@example.org",
"IncidentTime":"9/10/2014 9:08:14 PM",
"ReporteeName":"Reportee1",
"ReporteeIPAddress":"127.0.0.1",
"ViolationContentCollection": [
{
"Name":"test.jpg",
"Value":"Base 64 image string",
"Location":{ "Latitude":"", "Longitude":"", "Altitude":"" },
"UploadIpAddress": "192.168.1.100",
"UploadDateTime": "2023-08-20T15:30:00Z",
"AdditionalMetadata":[{"Key":"viewedByEsp","Value":"true"}, {"Key":"publiclyAvailable","Value":"true"}, {"Key":"additionalInfo","Value":"this is a test"}]
}
],
"AdditionalMetadata":[{ "Key":"IsTest", "Value": "true"}]
}
response = requests.post(url, headers=headers, json=data)
print(response.text)
# if scan_result["IsMatch"]:
# return True,scan_result
# else:
# return False,scan_result
def photoDNA(image_url):
url = "https://api.microsoftmoderator.com/photodna/v1.0/Match?enhance=false"
headers = {
"Content-Type": "application/json; charset=utf-8",
"Ocp-Apim-Subscription-Key": os.environ["PHOTODNA_KEY"]
}
data = {
"DataRepresentation": "URL",
"Value": image_url
}
response = requests.post(url, headers=headers, json=data)
scan_result=response.json()
print(scan_result)
if scan_result["IsMatch"]:
return True,scan_result
else:
return False,scan_result
def check_for_bad_classes(json_result, threshold=0.5):
bad_classes = [
"yes_nsfw",
"yes_suggestive",
"yes_female_underwear",
"yes_male_underwear",
"yes_sex_toy",
"yes_female_nudity",
"yes_male_nudity",
"yes_female_swimwear",
"yes_male_shirtless",
"yes_gun_in_hand",
"yes_culinary_knife_in_hand",
"yes_knife_in_hand",
"yes_pills",
"yes_smoking",
"yes_illicit_injectables",
"yes_kkk",
"yes_middle_finger",
"yes_sexual_activity",
"yes_hanging",
"yes_noose",
"yes_realistic_nsfw",
"yes_animated_corpse",
"yes_human_corpse",
"yes_self_harm",
"yes_drawing",
"yes_emaciated_body",
"yes_child_present",
"yes_sexual_intent",
"yes_animal_genitalia_and_human",
"yes_animated_animal_genitalia",
"yes_gambling",
"yes_undressed",
"yes_confederate",
"yes_animated_alcohol",
"yes_alcohol",
"yes_drinking_alcohol",
"yes_religious_icon",
"general_nsfw",
"no_female_underwear",
"animated_gun",
"gun_in_hand",
"gun_not_in_hand",
"culinary_knife_in_hand",
"culinary_knife_not_in_hand",
"knife_in_hand",
"knife_not_in_hand",
"a_little_bloody",
"other_blood",
"very_bloody",
"yes_smoking",
"illicit_injectables",
"medical_injectables",
"hanging",
"animated_corpse",
"human_corpse",
"animal_genitalia_and_human",
"animal_genitalia_only",
"animated_animal_genitalia",
"animated_alcohol",
"general_suggestive",
]
output = json_result.get("status", [])[0].get("response", {}).get("output", [])
harmful_classes = []
for item in output:
classes = item.get("classes", [])
for class_info in classes:
class_name = class_info.get("class", "")
score = class_info.get("score", 0)
if class_name in bad_classes and score >= threshold:
harmful_classes.append(class_name.strip("yes_"))
if harmful_classes:
return True, ", ".join(harmful_classes)
else:
return False, None
def hiveAI_scan_harmfull_content(url):
payload={"url": url}
headers = {
"accept": "application/json",
"authorization": "token {}".format( os.environ["HIVEAI_KEY"] )
}
response = requests.post("https://api.thehive.ai/api/v2/task/sync", headers=headers, data=payload)
response=response.json()
harmfull_content, bad_class = check_for_bad_classes(response)
if harmfull_content:
return True,f"Harmfull content found: {bad_class}"
else:
return False,""
if __name__=="__main__":
image_url="https://s3.amazonaws.com/docs.thehive.ai/client_demo/moderation_image.png"
# photoDNA(image_url)
# print(hiveAI_scan_harmfull_content(image_url))
#photoDNA_report(image_url)
import requests
import json
def send_request():
# Report Violation
# POST https://api.microsoftmoderator.com/photodna/v1.0/Report
try:
response = requests.post(
url="https://api.microsoftmoderator.com/photodna/v1.0/Report",
headers={
"Content-Type": "",
"Ocp-Apim-Subscription-Key": os.environ["PHOTODNA_KEY"],
"x-user": os.environ["x-user"],
"x-pwd": os.environ["x-pwd"]
},
data=json.dumps({
"OrgName":"TestOrg",
"ReporterName":"Reporter1",
"ReporterEmail":"test@example.org",
"IncidentTime":"9/10/2014 9:08:14 PM",
"ReporteeName":"Reportee1",
"ReporteeIPAddress":"127.0.0.1",
"ViolationContentCollection": [
{
"Name":"test.jpg",
"Value":"Base 64 image string",
"Location":{ "Latitude":"", "Longitude":"", "Altitude":"" },
"UploadIpAddress": "192.168.1.100",
"UploadDateTime": "2023-08-20T15:30:00",
}
],
"AdditionalMetadata":[{ "Key":"IsTest", "Value": "true"}]
})
)
print('Response HTTP Status Code: {status_code}'.format(
status_code=response.status_code))
print('Response HTTP Response Body: {content}'.format(
content=response.content))
except requests.exceptions.RequestException:
print('HTTP Request failed')
send_request()